On 02/02/2025 00:01, Shengqi Chen wrote:
Control: retitle -1 transition: xnnpack, onednn, pytorch{,-cuda}
Hi,
2025年1月28日 08:33，Shengqi Chen <ha...@debian.org> 写道：
They have exact same reverse dependencies (pytorch and onnxruntime)
that are also maintained by the deep learning team:
* pytorch needs a new upstream version (2.6+) that we are preparing
* onnxruntime needs a binNMU.
Since they are mainly used as dependencies of PyTorch 2.6, I would
like them to be in one, but not two independent, transition if possible.
After discussion with @lumin, we think xnnpack, onednn and pytorch need
to be in one transition, since their versions are tightly coupled.
The Ben file should then be:
title = “xnnpack, onednn, pytorch";
is_affected = .depends ~
/\b(libxnnpack0\.20241108|libxnnpack0|libdnnl3\.6|libdnnl3|libtorch2\.5|libtorch2\.6)\b/;
is_good = .depends ~ /\b(libxnnpack0\.20241108|libdnnl3\.6|libtorch2\.6)\b/;
is_bad = .depends ~ /\b(libxnnpack0|libdnnl3|libtorch2\.5)\b/;
This has migrated now, closing.
Cheers,
Emilio
